DescriptionPAN reinvented the enterprise firewall, growing from a startup to a multi-billion dollar company. Our next leading-edge innovation is PAN’s Threat Prevention Cloud Services, leveraging the latest developments in big data, machine learning, virtualization, high density storage, and distributed systems to enable threat analysis at a scale never seen before. Our cloud services, in conjunction with the reach of our firewalls deployed across the globe, create a data platform which no other enterprise security company has ever been able to build. The size and complexity of the data we are dealing with is in line with some of the largest Internet companies.As a Site Reliability Engineer at PAN you will be responsible for provisioning, maintaining, and scaling our production services and server farms across multiple data centers for this complex and data-intensive cloud service. You will contribute to and ensure service reliability, capacity, and performance. You will write automation code for provisioning and operating this infrastructure at massive scale. You will work with development and QA on building pipelines and automation for delivering and deploying production applications to this infrastructure.We are looking for passion, curiosity, attention to details, taking pride in one’s work, a sense of ownership, and having ideas/opinions. If you’re the level-headed team player who cares about the infrastructure, remains calm in crisis, and collaborates cross functionally, we want to talk to you.Managing a production SaaS platform at scale1-3+ Linux system administration via automation/codingStrong troubleshooting and analytical skillsVery comfortable with scripting, Python preferredHands on experience with the Hadoop ecosystem or Elastic SearchFocused on owning, improving, resolving, and deliveringEnjoy challenges, “do the right thing” and “love to learn” mentalityPreferred skills and experience, highly valuable in addition to the items above:Elastic Search is a big plusNginx and HAProxyExperience with geographically dispersed systems Experience with Configuration Management systems, Salt preferred, Chef/Puppet okExperience with Jenkins and setting up pipelinesHadoop ecosystem components, especially HDFS, HBase, Spark, Kafka

Desired Skills and Experience

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